Instructions to use YuryCHep/ruBert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuryCHep/ruBert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="YuryCHep/ruBert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("YuryCHep/ruBert-base") model = AutoModelForQuestionAnswering.from_pretrained("YuryCHep/ruBert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:121dde9bd98416f79a6c04d14ae043e05c8f4303c5a17371820d918ee731db14
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size 710900640
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